1445 Open source projects that are alternatives of or similar to Stanford Cs 229 Machine Learning

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Templates for jupyter notebooks

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".

Stock Price Prediction using Machine Learning Techniques

A Lean Persistent Homology Library for Python

the only cheat sheet you need

A mindmap summarising Deep Learning concepts.

Support content for my blog

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.

A python binding for crfsuite

Accelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

Experiment tracking for machine and deep learning projects

(Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.

Self-Supervised Learning Toolbox and Benchmark

A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.

code/webpage for the DeepMapping project

🍻 awesome cheatsheet

Malware Data Science Reading Diary / Notes

深度学习在推荐系统中的应用及论文小结。

A schema analyzer for MongoDB

Automatic extraction of relevant features from time series:

R package to interface with OpenML

📘 The interactive computing suite for you! ✨

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

DataPrep — The easiest way to prepare data in Python

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

One place for all the default credentials to assist the Blue/Red teamers activities on finding devices with default password 🛡️

Data Science Course in a Box

Road to Machine Learning

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

PyTorch Blog Post On Image Similarity Search

Lazydata: Scalable data dependencies for Python projects

Convolutional Autoencoder for Loop Closure

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Python Top 45 Articles of 2017

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

A simple Spark-powered ETL framework that just works 🍺

another book on data science

The Definitive Kubectl Sheetcheat. ⭐ Give it a star if you like it. Work (always) in progress !

📖 Docker CheatSheets In A4

🧬 A JupyterLab extension for annotating data with Prodigy

A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

【火炉炼AI】-机器学习系列文章

Survival analysis in Python

Python Framework for Extractive Text Summarization

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

A simple algorithm for clustering web pages, suitable for crawlers

ohayo is a fast and free data science studio.